Study of mental health and learning engagement during COVID-19 pandemic based on an electroencephalogram headset
Iuliana Marin

TL;DR
This study uses EEG headsets to analyze mental health and engagement in students during COVID-19, revealing optimal learning methods and potential for enhancing online education and well-being.
Contribution
It introduces a novel EEG-based web application to monitor and improve student engagement and mental health during remote learning.
Findings
Highest attention with text and illustrations
Videos increased initial engagement but less long-term focus
Students' confidence improved with EEG feedback
Abstract
The COVID pandemic and the measures which were taken had effect over the mental health of persons. The current paper proposes a concept that supports the performance of students by analyzing three ways of distance learning, namely text, text and illustrations, including charts, video. An electroencephalogram headset allows the detection of brainwaves and the developed web application enhances the process of distance learning. The electrodes of the headset are placed at contact with the user head and monitor the activity of the left and right frontal regions, along with the temporal lobe. Mood, focus, stress, relaxation, engagement, excitement and interest are triggered as numerical values by using the headset. The users provide information about their daily activities, including learning and evaluation processes. According to the study, users had the highest long term attention while…
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Taxonomy
TopicsEEG and Brain-Computer Interfaces · Digital Mental Health Interventions · Heart Rate Variability and Autonomic Control
